{"id":"https://openalex.org/W4312353470","doi":"https://doi.org/10.1109/iscas48785.2022.9937276","title":"Real-Time Image Inpainting using PatchMatch Based Two-Generator Adversarial Networks with Optimized Edge Loss Function","display_name":"Real-Time Image Inpainting using PatchMatch Based Two-Generator Adversarial Networks with Optimized Edge Loss Function","publication_year":2022,"publication_date":"2022-05-28","ids":{"openalex":"https://openalex.org/W4312353470","doi":"https://doi.org/10.1109/iscas48785.2022.9937276"},"language":"en","primary_location":{"id":"doi:10.1109/iscas48785.2022.9937276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937276","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037772140","display_name":"Luchang Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4391767673","display_name":"State Key Laboratory of ASIC and System","ror":"https://ror.org/01mamgv83","country_code":null,"type":"facility","lineage":["https://openalex.org/I24943067","https://openalex.org/I4391767673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luchang Ding","raw_affiliation_strings":["Fudan University,State Key Laboratory of ASIC and System,Shanghai,China","State Key Laboratory of ASIC and System, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of ASIC and System,Shanghai,China","institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4391767673"]},{"raw_affiliation_string":"State Key Laboratory of ASIC and System, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100345321","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0001-6595-7661"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4391767673","display_name":"State Key Laboratory of ASIC and System","ror":"https://ror.org/01mamgv83","country_code":null,"type":"facility","lineage":["https://openalex.org/I24943067","https://openalex.org/I4391767673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["Fudan University,State Key Laboratory of ASIC and System,Shanghai,China","State Key Laboratory of ASIC and System, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of ASIC and System,Shanghai,China","institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4391767673"]},{"raw_affiliation_string":"State Key Laboratory of ASIC and System, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059982723","display_name":"Chang Wu","orcid":"https://orcid.org/0000-0003-1706-1275"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4391767673","display_name":"State Key Laboratory of ASIC and System","ror":"https://ror.org/01mamgv83","country_code":null,"type":"facility","lineage":["https://openalex.org/I24943067","https://openalex.org/I4391767673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Wu","raw_affiliation_strings":["Fudan University,State Key Laboratory of ASIC and System,Shanghai,China","State Key Laboratory of ASIC and System, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of ASIC and System,Shanghai,China","institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4391767673"]},{"raw_affiliation_string":"State Key Laboratory of ASIC and System, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004629662","display_name":"Chang Cai","orcid":"https://orcid.org/0000-0001-6624-8998"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4391767673","display_name":"State Key Laboratory of ASIC and System","ror":"https://ror.org/01mamgv83","country_code":null,"type":"facility","lineage":["https://openalex.org/I24943067","https://openalex.org/I4391767673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Cai","raw_affiliation_strings":["Fudan University,State Key Laboratory of ASIC and System,Shanghai,China","State Key Laboratory of ASIC and System, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of ASIC and System,Shanghai,China","institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4391767673"]},{"raw_affiliation_string":"State Key Laboratory of ASIC and System, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006212733","display_name":"Gengsheng Chen","orcid":"https://orcid.org/0000-0003-1879-9415"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4391767673","display_name":"State Key Laboratory of ASIC and System","ror":"https://ror.org/01mamgv83","country_code":null,"type":"facility","lineage":["https://openalex.org/I24943067","https://openalex.org/I4391767673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gengsheng Chen","raw_affiliation_strings":["Fudan University,State Key Laboratory of ASIC and System,Shanghai,China","State Key Laboratory of ASIC and System, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of ASIC and System,Shanghai,China","institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4391767673"]},{"raw_affiliation_string":"State Key Laboratory of ASIC and System, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3145","last_page":"3149"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.9039744734764099},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.7504112720489502},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6707133650779724},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.6375620365142822},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6310669183731079},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6103718280792236},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5605900287628174},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5325530767440796},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.49659448862075806},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4931761622428894},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48015493154525757},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3582684397697449},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3265179991722107},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.08508789539337158}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9039744734764099},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.7504112720489502},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6707133650779724},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.6375620365142822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6310669183731079},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6103718280792236},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5605900287628174},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5325530767440796},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.49659448862075806},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4931761622428894},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48015493154525757},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3582684397697449},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3265179991722107},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.08508789539337158},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas48785.2022.9937276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937276","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1915485278","https://openalex.org/W1959608418","https://openalex.org/W1993120651","https://openalex.org/W2006426992","https://openalex.org/W2105038642","https://openalex.org/W2331128040","https://openalex.org/W2557414982","https://openalex.org/W2738588019","https://openalex.org/W2796286534","https://openalex.org/W2798365772","https://openalex.org/W2896434438","https://openalex.org/W2907097116","https://openalex.org/W2963653779","https://openalex.org/W2963684088","https://openalex.org/W2982763192","https://openalex.org/W3043547428","https://openalex.org/W4308831279","https://openalex.org/W6640963894","https://openalex.org/W6685352114","https://openalex.org/W6750239406","https://openalex.org/W6752670383","https://openalex.org/W6755053353","https://openalex.org/W6756444276","https://openalex.org/W6757857098"],"related_works":["https://openalex.org/W2005185696","https://openalex.org/W2792536757","https://openalex.org/W1533292911","https://openalex.org/W2076843379","https://openalex.org/W4365518851","https://openalex.org/W2907097116","https://openalex.org/W2974859913","https://openalex.org/W4301908144","https://openalex.org/W4281785895","https://openalex.org/W4312855220"],"abstract_inverted_index":{"Image":[0],"inpainting":[1,54,235],"algorithms":[2],"based":[3,58],"on":[4,86,166],"the":[5,12,30,38,67,82,87,96,102,117,137,150,155,158,179,191,202,207,239],"deep":[6],"learning":[7],"are":[8,41,163,184,196],"rapidly":[9],"developed":[10],"in":[11,177,189],"past":[13],"few":[14],"years,":[15],"as":[16,110,146],"they":[17],"can":[18,231],"synthesize":[19],"textures":[20],"and":[21,36,44,81,168,175,186,198,220],"structures":[22],"while":[23,237],"maintaining":[24],"semantic":[25,79],"continuity.":[26],"However,":[27],"due":[28],"to":[29,65,77,94,113,125,135,153],"limitations":[31],"of":[32,69,99,149,157,160,181,193,206,241],"existing":[33],"loss":[34,141,151],"functions":[35],"convolution,":[37],"generated":[39,70],"images":[40],"usually":[42],"blurry":[43],"have":[45],"artificial":[46],"textures.":[47],"In":[48],"this":[49],"paper,":[50],"a":[51,105,120,129,147],"real-time":[52,242],"image":[53,88,234],"system":[55,183,195,209,230],"using":[56],"PatchMatch":[57],"two-generator":[59],"adversarial":[60],"network":[61,122],"(PatchMatch-GAN),":[62],"is":[63,75,92,108,123,133,210,214],"proposed":[64,145],"improve":[66,136],"clarity":[68],"images.":[71,127],"The":[72,139],"first":[73,103],"generator":[74],"committed":[76],"continuous":[78],"textures,":[80],"second":[83,118],"one":[84],"focuses":[85],"sharpness.":[89],"Parallel-dilated":[90],"convolution":[91],"used":[93,109],"enlarge":[95],"receptive":[97],"field":[98],"filters.":[100],"For":[101,116],"generator,":[104,119],"pre-trained":[106],"VGG16":[107],"an":[111],"encoder":[112],"extract":[114],"features.":[115],"DCGAN-like":[121],"designed":[124],"generate":[126],"And":[128],"feature":[130],"replacement":[131],"method":[132],"utilized":[134],"resolution.":[138],"edge":[140],"has":[142],"also":[143],"been":[144],"part":[148],"function":[152],"emphasize":[154],"role":[156],"shape":[159],"objects.":[161],"Experiments":[162],"carried":[164],"out":[165],"place2":[167],"irregular":[169],"mask":[170],"datasets.":[171],"Compared":[172],"with":[173],"GLGAN":[174],"CAGAN,":[176],"PSNR,":[178],"improvements":[180,192],"our":[182,194,229],"3.33%":[185],"2.7%,":[187],"respectively;":[188],"FID,":[190],"59.54%":[197],"35.59%,":[199],"respectively.":[200],"Moreover,":[201],"average":[203],"processing":[204,243],"time":[205],"whole":[208],"29.96":[211],"ms,":[212],"which":[213],"6.56":[215],"times":[216,222],"faster":[217,223],"than":[218,224],"GLGAN,":[219],"21.33":[221],"CAGAN.":[225],"These":[226],"show":[227],"that":[228],"achieve":[232],"better":[233],"results":[236],"meeting":[238],"requirements":[240],"speed.":[244]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}